develop

Parallel AI-assisted development in a monorepo is coordinated around API contracts, allowing backend, frontend, AI engineering, and QA agents to execute tasks simultaneously. This orchestrator manages cross-functional collaboration and environment setup to streamline the workflow.

Contract-driven implementation uses API contracts as the central source of truth for multi-agent role definitions. AI agents reference these contracts to execute backend, frontend, and QA tasks in parallel, ensuring cross-functional alignment and rigorous testing.

To set up a new monorepo project, first run the environment preparation command, then use the project creation command to generate the initial repository structure. This establishes the baseline for end-to-end AI-driven development and testing workflows.

Yes, the orchestrator supports end-to-end workflows from initial environment preparation to final verification. It manages environment and operator guidance, backend/frontend/AI orchestration, API testing, and final checks for cross-functional teams.

Yes, AI engineering is integrated directly into the orchestration workflow alongside backend and frontend development. The system coordinates these roles in parallel around shared API contracts within a monorepo structure.

The API contract-driven approach requires well-defined contracts before parallel development begins. If API specifications are incomplete or frequently changing, coordinating multiple AI agents across backend, frontend, and QA becomes challenging and may hinder parallel execution.